Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of AI models for groundbreaking biological research.
- Company: Join a cutting-edge biotech firm focused on innovative biomarker discovery.
- Benefits: Enjoy opportunities for remote work and access to advanced tech resources.
- Why this job: Be at the forefront of BioAI, making a real impact on patient lives.
- Qualifications: PhD in relevant fields and expertise in multi-omics and single-cell biology required.
- Other info: Weekly onsite presence in Cambridge, UK; open to exceptional EU applicants.
The predicted salary is between 48000 - 72000 £ per year.
My client is looking for an exceptional BioAI scientist to lead and contribute to the development of a foundational model to discover novel biomarker insights, and for the discovery and development of biologics.
The ideal candidate will have experience in the development and training of foundational models, applied to single cell, spatial biology, genomics, and related multi-omics.
Your Tasks
- Build and apply advanced AI models (e.g., transformers, VAEs, large-scale foundation models, and self-supervised or multimodal architectures) to support biological research.
- Develop, refine and optimise AI systems, and tools, with a focus on Multi-omics and Single cell.
- Utilise your deep knowledge of single-cell and spatial data, from various tissues and disease types, using both public (e.g. HCA) and internal resources, to acquire, curate and prepare datasets.
- Work in cross-functional teams to ensure application of these models are applicable to practical biological applications.
Your profile (ESSENTIAL)
- PHD degree in relevant area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc).
- Extensive knowledge of Multi-omics datasets with a focus on Single-cell and Spatial Biology.
- Expertise in utilising GPUs for AI/ML model training.
- You have an exceptional publication record of AI method development for Biology (NeurIPS, Nature etc).
- Strong software development skills; Python (and relevant libraries), Cloud infrastructure etc.
- You’re highly motivated to work at the forefront of innovation, keen to develop the next generation of BioAI technologies to make significant impact to patient lives.
To note: Open to exceptional EU applicants and can support in bringing you to Cambridge, UK. Role requires weekly onsite presence in Cambridge, UK. Further details will be given on screening call.
Additional questions? ellie.cockburn@umbilical-life.com OR drop me a DM.
Contact Detail:
Umbilical Life Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BioAI Scientist / ML Engineer - Foundational Model Development
✨Tip Number 1
Network with professionals in the BioAI and ML fields. Attend relevant conferences, webinars, or meetups to connect with experts and learn about the latest trends and opportunities. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your expertise in foundational models by engaging in online forums or contributing to open-source projects. This not only demonstrates your skills but also helps you build a portfolio that highlights your experience with AI models relevant to biological research.
✨Tip Number 3
Prepare to discuss your previous work on multi-omics datasets and single-cell biology during interviews. Be ready to explain your methodologies and the impact of your research, as this will show us your depth of knowledge and practical application of your skills.
✨Tip Number 4
Familiarise yourself with the specific tools and technologies we use at StudySmarter. Understanding our tech stack and being able to discuss how your experience aligns with it can set you apart from other candidates and demonstrate your genuine interest in the role.
We think you need these skills to ace BioAI Scientist / ML Engineer - Foundational Model Development
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in BioAI, machine learning, and foundational model development. Emphasise your PhD and any publications in top-tier journals like NeurIPS or Nature.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for BioAI and your motivation to work on innovative technologies. Mention specific projects or experiences that align with the job description, particularly in multi-omics and single-cell biology.
Highlight Technical Skills: Clearly outline your technical skills, especially in Python, AI/ML model training, and cloud infrastructure. Provide examples of how you've used these skills in previous roles or research.
Showcase Collaborative Experience: Since the role involves working in cross-functional teams, include examples of past collaborations. Highlight how you contributed to team projects and the impact of your work on biological applications.
How to prepare for a job interview at Umbilical Life
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with foundational models and multi-omics datasets in detail. Highlight specific projects where you've applied advanced AI techniques, such as transformers or VAEs, and be ready to explain the impact of your work on biological research.
✨Demonstrate Collaborative Skills
Since the role involves working in cross-functional teams, share examples of how you've successfully collaborated with others in previous projects. Emphasise your ability to communicate complex ideas clearly and work towards common goals.
✨Prepare for Technical Questions
Expect technical questions related to AI model development and training, especially regarding single-cell and spatial biology. Brush up on relevant algorithms and methodologies, and be ready to solve problems on the spot or discuss your thought process.
✨Express Your Passion for Innovation
Convey your enthusiasm for working at the forefront of BioAI technologies. Discuss your motivation for making a significant impact on patient lives and how you envision contributing to the company's mission through innovative solutions.
